Resource scheduling method and system suitable for various computing frameworks

A resource scheduling and computing framework technology, applied in the field of distributed computing, to ensure reasonable allocation, avoid MPI library and version compatibility issues, and provide a flexible parallel computing environment.

Active Publication Date: 2020-02-14
EAST CHINA INST OF COMPUTING TECH
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  • Resource scheduling method and system suitable for various computing frameworks
  • Resource scheduling method and system suitable for various computing frameworks
  • Resource scheduling method and system suitable for various computing frameworks

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[0033] The present invention will be described in detail below in conjunction with specific embodiments. The following examples will help those skilled in the art to further understand the present invention, but do not limit the present invention in any form. It should be noted that those skilled in the art can make several changes and improvements without departing from the concept of the present invention. These all belong to the protection scope of the present invention.

[0034] According to the present invention, a resource scheduling method suitable for various computing frameworks includes: computing task management step: registering and packaging plug-in tasks; job model arrangement and engine step: based on the packaged plug-in, for different Business process arrangement, and provide the parsing engine function based on mirroring process; unified resource scheduling steps: perceive the computing resources of each computing node, and carry out resource modeling with d...

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Abstract

The invention provides a resource scheduling method and system suitable for various computing frameworks. The resource scheduling method comprises the following steps: a computing task management step: registering and packaging plug-in tasks; an operation model arrangement and engine step: based on the packaged plug-in, performing process arrangement for different businesses, and providing an analysis engine function of a mirror image-based process; and a uniform resource scheduling step: sensing the computing resources of each computing node, performing resource modeling with different computing tasks, and scheduling the corresponding computing nodes according to a corresponding strategy in combination with the arranged process to obtain uniform resource scheduling control information, wherein the uniform resource scheduling control information controls a uniform resource scheduling behavior. Aiming at the current mainstream MPI parallel computing library, various template combinations aiming at different operating systems, different MPI manufacturers and different versions can be provided.

Description

technical field [0001] The present invention relates to the field of distributed computing, in particular to a resource scheduling method and system applicable to various computing frameworks. Background technique [0002] In high-performance computing clusters, the computing environment of more and more users becomes more and more complex. Different operating systems, different version numbers, and different MPI types and versions make the computing environment more and more difficult to maintain. At the same time, more and more users are more inclined to transform traditional high-performance clusters into a comprehensive computing cluster, not only the MPI computing framework, but also support for other computing frameworks, such as big data analysis computing framework Hadoop, Spark, Storm, etc., and support for machine learning and deep learning such as TensorFlow, Caffe, PaddlePaddle, etc. [0003] Patent document 109933433A discloses a GPU resource scheduling system ...

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Application Information

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IPC IPC(8): G06F9/48G06F9/50
CPCG06F9/4806G06F9/5027
Inventor 王敬平姜鑫周洁沈晨黄子君徐文远杜真真褚少鹤
Owner EAST CHINA INST OF COMPUTING TECH
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